@Article{cmes.2025.063929,
AUTHOR = {Shah Zeb Khan, Muhammad Rahim, Adel M. Widyan, A. Almutairi, Njood Shaher Ethaar Almutire, Hamiden Abd El-Wahed Khalifa},
TITLE = {Development of AHP-Based Divergence Distance Measure between –Spherical Fuzzy Sets with Applications in Multi-Criteria Decision Making},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {143},
YEAR = {2025},
NUMBER = {2},
PAGES = {2185--2211},
URL = {http://www.techscience.com/CMES/v143n2/61443},
ISSN = {1526-1506},
ABSTRACT = {This study introduces a novel distance measure (DM) for spherical fuzzy sets (SFSs) to improve decision-making in complex and uncertain environments. Many existing distance measures either fail to satisfy essential axiomatic properties or produce unintuitive outcomes. To address these limitations, we propose a new three-dimensional divergence-based DM that ensures mathematical consistency, enhances the discrimination of information, and adheres to the axiomatic framework of distance theory. Building on this foundation, we construct a multi-criteria decision-making (MCDM) model that utilizes the proposed DM to evaluate and rank alternatives effectively. The applicability and robustness of the model are validated through a practical case study, demonstrating that it leads to more rational, consistent, and reliable decision outcomes compared to existing approaches.},
DOI = {10.32604/cmes.2025.063929}
}